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Efficient Cooling System of Cloud Data Center by Reducing Energy Consumption

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Intelligent Computing and Optimization (ICO 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 852))

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Abstract

Cloud computing makes computers a utility and allows scientific, consumer, and corporate applications. This implementation raises energy, CO2, and economic problems. Cloud computing companies are concerned about energy use in cloud data centers. Green Cloud Environments, known as GCE, have provided formulations, solutions, and models to reduce the environmental effect as well as energy consumption under the latest models while considering components for static and dynamic clouds. Our technique models cloud computing data centers. To accomplish this, you must understand trends in cloud energy usage. We analyze energy consumption trends and show that by using appropriate optimization techniques guided by our energy consumption models, cloud data centers may save 20% of energy. Our study is incorporated into cloud computing while monitoring energy usage and helping to optimize on a system level.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh

    Nazia Tabassum Natasha, Imran Fakir, Sabiha Afsana Falguni, Faria Tabassum Mim, Syed Ridwan Ahmed Fahim & Ahmed Wasif Reza

  2. Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh

    Mohammad Shamsul Arefin

  3. Department of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chattogram, Bangladesh

    Mohammad Shamsul Arefin

Authors
  1. Nazia Tabassum Natasha
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  2. Imran Fakir
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  3. Sabiha Afsana Falguni
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  4. Faria Tabassum Mim
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  5. Syed Ridwan Ahmed Fahim
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  6. Ahmed Wasif Reza
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  7. Mohammad Shamsul Arefin
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Corresponding authors

Correspondence to Ahmed Wasif Reza or Mohammad Shamsul Arefin .

Editor information

Editors and Affiliations

  1. Faculty of Electrical and Electronics Engineering, Modeling Evolutionary Algorithms Simulation and Artificial Intelligence, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Pandian Vasant

  2. Department of Computer Science, Chittagong University of Engineering and Technology, Chittagong, Bangladesh

    Mohammad Shamsul Arefin

  3. Laboratory of Non-traditional Energy Systems, Department of Theoretical and Applied Mechanics, Federal Scientific Agroengineering Center VIM, Russian University of Transport, Moscow, Russia

    Vladimir Panchenko

  4. Department of Computer Science, UOW Malaysia KDU Penang University College, George Town, Malaysia

    J. Joshua Thomas

  5. School of Economics and Decision Sciences, North West University, Mmabatho, South Africa

    Elias Munapo

  6. Faculty of Engineering Management, Poznań University of Technology, Poznan, Poland

    Gerhard-Wilhelm Weber

  7. Facultad de Ciencias Económicas y Empresariales, School of Economic and Business Sciences, Universidad Panamericana, Mexico City, Mexico

    Roman Rodriguez-Aguilar

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Natasha, N.T. et al. (2023). Efficient Cooling System of Cloud Data Center by Reducing Energy Consumption. In: Vasant, P., et al. Intelligent Computing and Optimization. ICO 2023. Lecture Notes in Networks and Systems, vol 852. Springer, Cham. https://doi.org/10.1007/978-3-031-50330-6_25

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